Senior Data Science Manager, Central Data Products

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to to take the first step.

Team mission

At the Central Data Products team, our mission is to build, operate, and drive adoption of horizontal data products that empower multiple clusters across GetYourGuide.

We are a horizontal team within central services, and our products are pivotal to the entire flywheel: Consumer, Growth, and Supply. We own the systems that decide how our marketplace is understood and organized: location and travel category tagging that powers landing pages, the landing page eligibility framework that unlocks marketing efficiency at scale, destination maps and travel-relevance models that steer supply acquisition into untapped markets, and the Customer Lifetime Value model that shifts the company from short-term revenue optimization to long-term customer value. Many of these systems are LLM-based and running in production today.

As the Senior Data Science Manager of Central Data Products, you will lead the vision, strategy, and execution of a portfolio of data and ML products used across the company. Your team is senior and cross-functional (Data Scientists, MLOps Engineers, and a Product Manager), and its output is measured in company-level business impact, not in models shipped.

Your mission

• Lead all hiring and performance management processes for your team, helping Data Scientists and MLOps Engineers reach their full potential in a domain that mixes classical ML, LLMs, and production data infrastructure.

• Drive high-impact outcomes by managing the team's roadmap and portfolio allocation across a diverse set of horizontal data products, making explicit trade-offs between exploration, productionalization, and ongoing operations.

• Find and deliver solutions to complex technical challenges that span multiple services and business domains, from marketplace tagging quality to predictive customer models.

• Own adoption, not just delivery. Horizontal data products only create value when clusters build on them, so you will drive operationalization together with Growth, Supply, and Consumer stakeholders.

• Raise the operational bar for data products in production: quality baselines, LLM-as-judge and golden dataset monitoring, incident management, and reliable at-scale pipelines.